License Plate Traffic Analysis for Real-Time Signal Adjustment
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Solution Overview
Problem
Current traffic data collection methods are inefficient, costly, and lack real-time monitoring capabilities, failing to provide precise, integrated, and actionable traffic data that can be used for strategic planning and management.
Innovation Solution
A system utilizing existing law enforcement license plate cameras to capture and analyze vehicle license plates in real-time, incorporating data anonymization and machine learning to identify traffic conditions and adjust traffic management systems accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual traffic surveys are used to collect traffic data, then data collection can be performed, but it requires substantial human resources and is time-consuming and expensive
Solution Approach 1:
The patent replaces manual mechanical traffic survey methods with automated electronic license plate recognition systems. Cameras capture and process license plate images automatically, eliminating the need for human observers to manually record traffic data, thereby dramatically improving productivity while maintaining measurement precision.
Solution Approach 2:
The system enables self-service data collection where the license plate cameras and recognition software automatically capture, process, and store traffic data without human intervention. The system serves itself by automatically analyzing captured images, extracting license plate information, and generating traffic flow reports.
2Loss of time
If traditional traffic data collection methods are used, then snapshots of traffic flow at specific times can be obtained, but real-time monitoring and quick response to sudden changes are impossible
Solution Approach 1:
The patent implements continuous real-time traffic monitoring by having license plate cameras continuously capture images and the system continuously process and analyze the data stream. This eliminates the间断性 of manual surveys and provides uninterrupted traffic flow information, enabling immediate detection and response to sudden traffic changes or anomalies.
3Measurement precision
If conventional traffic counting methods are used, then vehicle counts can be obtained, but vehicle-specific information is ignored resulting in imprecise traffic patterns
Solution Approach 1:
The patent makes the license plate recognition system multi-functional by using it not only for law enforcement purposes but also for detailed traffic analysis. The same camera and recognition infrastructure that identifies license plates also extracts vehicle-specific information such as vehicle type, color, and timing data, providing precise traffic patterns without requiring separate specialized equipment.
4Adaptability or versatility
If traffic data is collected independently of traffic management systems, then data collection can occur, but there is a disconnect between data collection and actual traffic control measures
Solution Approach 1:
The patent merges the traffic data collection system with the traffic management control system into an integrated unified system. The license plate recognition and traffic analysis components are combined with traffic signal control and management infrastructure, allowing seamless data sharing and coordinated operation between data collection and traffic control functions.
5Productivity
If existing law enforcement license plate cameras are utilized for traffic analysis, then efficient data collection is enabled, but data privacy and security concerns arise
Solution Approach 1:
The patent extracts and separates personally identifiable information (license plate numbers) from the traffic analysis data stream. The system captures license plate images for identification purposes but then processes the data to analyze traffic patterns without retaining or utilizing the actual license plate numbers for traffic management decisions, effectively removing the privacy-risk element while preserving analytical utility.
Data Source
AI summary
A method is provided for controlling traffic management infrastructure, comprising: capturing images of vehicle license plates converting the images into license plate data including license plate characters; transmitting the license plate data to a central server having a data collection module, a data anonymization module, a data storage module and a data analysis module; extracting the license plate characters from the license plate data; packaging the license plate characters in license plate files; anonymizing the license plate files; storing, by the data storage module, the anonymized license plate files; analyzing the anonymized license plate file to identify a traffic condition; and outputting at least one command to at least one component of traffic management infrastructure, thereby causing the component to adjust an aspect of traffic management based upon the identified traffic condition.